Analytical and Bioanalytical Chemistry

, Volume 407, Issue 3, pp 991–1002 | Cite as

Determination of lipidomic differences between human breast cancer and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis

  • Eva Cífková
  • Michal HolčapekEmail author
  • Miroslav Lísa
  • David Vrána
  • Jiří Gatěk
  • Bohuslav Melichar
Research Paper
Part of the following topical collections:
  1. ABCs 13th Anniversary


The comprehensive approach for the lipidomic characterization of human breast cancer and surrounding normal tissues is based on hydrophilic interaction liquid chromatography (HILIC)–electrospray ionization mass spectrometry (ESI-MS) quantitation of polar lipid classes of total lipid extracts followed by multivariate data analysis using unsupervised principal component analysis (PCA) and supervised orthogonal partial least square (OPLS). This analytical methodology is applied for the detailed lipidomic characterization of ten patients with the goal to find the statistically relevant differences between tumor and normal tissues. This strategy is selected for better visualization of differences, because the breast cancer tissue is compared with the surrounding healthy tissue of the same patient, therefore changes in the lipidome are caused predominantly by the tumor growth. A large increase of total concentrations for several lipid classes is observed, including phosphatidylinositols, phosphatidylethanolamines, phosphatidylcholines, and lysophosphatidylcholines. Concentrations of individual lipid species inside the abovementioned classes are also changed, and in some cases, these differences are statistically significant. PCA and OPLS analyses enable a clear differentiation of tumor and normal tissues based on changes of their lipidome. A notable decrease of relative abundances of ether and vinylether (plasmalogen) lipid species is detected for phosphatidylethanolamines, but no difference is apparent for phosphatidylcholines.


Breast cancer Lipid biomarkers HILIC-HPLC/ESI-MS Quantitation Statistical analysis 



This work was supported by ERC CZ project No. LL1302 sponsored by the Ministry of Education, Youth and Sports of the Czech Republic. E.C. acknowledges the support of the grant project no. CZ.1.07/2.3.00/30.0021 sponsored by the Ministry of Education, Youth and Sports of the Czech Republic. The help of Blanka Červená and Vitaliy Chagovets (University of Pardubice) in the extraction and data analysis and Martin Hill (Institute of Endocrinology) in the statistical evaluation is acknowledged.

Supplementary material

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Eva Cífková
    • 1
  • Michal Holčapek
    • 1
    Email author
  • Miroslav Lísa
    • 1
  • David Vrána
    • 2
  • Jiří Gatěk
    • 3
  • Bohuslav Melichar
    • 2
  1. 1.Department of Analytical Chemistry, Faculty of Chemical TechnologyUniversity of PardubicePardubiceCzech Republic
  2. 2.Department of Oncology, Medical School and Teaching HospitalPalacký UniversityOlomoucCzech Republic
  3. 3.Department of Surgery, Atlas HospitalTomáš Baťa University in ZlínZlínCzech Republic

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